Learn local AI
9 paths, 47 lessons, 119 questions. Every lesson gives you the plain-English version first, then the technical one, then why it actually matters when you are choosing hardware or debugging a slow setup.
Foundations
Start your journey into local AI inference
3 modules · 8 lessonsThe Inference Pipeline
Understand how tokens are generated under the hood
3 modules · 6 lessonsMaking Models Fit
Learn how huge models run on small devices via Quantization
2 modules · 4 lessonsSpeed Hacks
Advanced optimizations to make inference blisteringly fast
3 modules · 6 lessonsApple Silicon AI
Why Macs are secretly the best local AI machines
1 module · 1 lessonTools & Frameworks
The software ecosystem of local AI
3 modules · 4 lessonsAdvanced Topics
Explore the frontier of local AI capabilities
1 module · 1 lessonNVIDIA Hardware & DGX
NVIDIA graphics cards, DGX Spark, DGX Station, and NVFP4 — the hardware of local AI
5 modules · 9 lessonsPopular Open Source Models
Master Qwen 2.5, DeepSeek-R1, GLM-4, Gemma 2, and Llama 3 — sweet spots, architectures, and local hardware requirements
4 modules · 8 lessons